Runpoint: AI Business Transformation Podcast

About Runpoint: AI Business Transformation Podcast

Hosted by Runpoint Partners’ founders Sam Gaddis (tech entrepreneur & AI builder) and Matthew Hall (PE operator & growth strategist), Runpoint Podcast strips the hype from artificial intelligence and shows you how to turn it into concrete business results—fast.

Publisher

Runpoint Partners

Category

business · technology

Language

en

Explicit

No

First episode

25 Apr 2025

Latest episode

6 Nov 2026

Latest episodes

17 episodes in the feed.

1. 

   6 Nov 2026

   Runpoint Magazine: Group Drive

   American factories had electric motors for forty years before the productivity showed up. The wait was mostly about the buildings they were bolted into.

2. 

   30 Oct 2026

   Runpoint Magazine: Half-Lives

   Most of what executives track about AI goes stale inside a quarter. The useful skill is sorting what you know by how fast it decays, and checking each pile on its own clock.

3. 

   23 Oct 2026

   Runpoint Magazine: The Wrong Unit

   This year we gave up on quarterly goals. Then we started a quarterly magazine.

4. 

   10 Jul 2026

   Local Models, Open Weights, and AI Sovereignty: A Practitioner Roundtable

   Sam Gaddis sits down with the largest Runpoint Podcast panel yet: Matthew Hall and Ryan Mish from the Runpoint team, Thomas McNally of Zaelab, and returning guest Thanh Pham. The conversation starts with the Theo video that stirred up the "local models are overrated" argument and goes deep from there. Thomas walks through what it actually looks like to deploy open weight models across a firm, including the cost math, the hardware, and why non-technical employees are lining up to join the program. Thanh brings the hobbyist-turned-practitioner view from his home lab and where local genuinely holds up. Along the way: the four-way split between frontier, local-on-prem, local-in-cloud, and rented open weight inference, plus a straight look at the two fears CEOs raise most often. If you run a mid-market company and you're trying to figure out where these models fit, this one is for you. Guests: Thomas McNally, technology lead at Zaelab Thanh Pham, Managing Director of Asian Efficiency Matthew Hall and Ryan Mish, Runpoint Timestamps: 0:00 Intro and the panel 0:53 The Theo video and the local vs open weight debate 1:22 Deploying open weight models across a firm: the cost story 4:41 Which models and hardware Zaelab landed on (Qwen, RTX 6000, VRAM) 6:41 Why employees want in on an "inferior" model program 8:00 The interface problem and Anthropic's third-party inference feature 9:28 Pay-per-use to all-you-can-eat, and protecting your IP 9:56 The subscription gravy train is ending 10:21 AI sovereignty and why the conversation shifted 12:11 Thanh's home lab and the hybrid local setup 13:41 What "most people" can actually run on their hardware 16:03 The routing trifecta: frontier, cloud infrastructure, and on-device 18:32 What each panelist actually uses day to day 19:30 Model agnosticism and avoiding vendor lock-in 21:40 How to build an intelligent routing layer 24:14 Evaluating routing solutions without a lab 24:54 Myth busting: Chinese models and training on your data 27:18 Where IP really lives for mid-market companies 28:10 The fourth option: rented open weight inference (Fireworks, GLM) 30:00 Clearing up the terminology confusion 32:52 Does fine-tuning transfer, or is it a one-time cost? 35:38 The maintenance burden nobody talks about 38:22 Tempering expectations if you're coming from frontier 39:19 Wrap up

5. 

   20 May 2026

   Runpoint 12: Agents Are Moving Into the Enterprise: Google, SAP, Salesforce, and the Future of Work

   AI agents are no longer just standalone demos. They are moving directly into the systems where work already happens: Google Workspace, SAP, Salesforce, email, calendars, files, CRMs, and enterprise systems of record. In this episode of the Runpoint Podcast, Sam Gaddis, Matthew, Ryan Mish, and guest Harrison Wells of Dodo Digital discuss the shift from flashy AI tools to operational AI workflows. They cover Google Spark and Omni, the SAP + Anthropic partnership, Salesforce’s reported engineering productivity gains, Pi agents, Codex 5.5, Claude, and why many companies are increasing AI budgets faster than they are building true AI readiness. The big question: will enterprises actually transform around AI, or will they just bolt chatbots onto old systems and call it innovation? Timestamps 00:00 (https://www.youtube.com/watch?v=CBtrRrbPO7I) — Intro: agents are moving into real work surfaces 02:18 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=138s) — Pi agents, Codex 5.5, and custom AI workflows 06:00 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=360s) — Google Spark, Omni, and the Workspace distribution advantage 12:26 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=746s) — Could Google own the enterprise AI surface? 15:19 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=919s) — Agents making purchases and real-world decisions 21:03 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=1263s) — SAP + Anthropic: Claude inside systems of record 23:25 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=1405s) — Why chatbot-style enterprise AI often fails 25:30 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=1530s) — Daily AI reports, heartbeat workflows, and what actually works 31:44 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=1904s) — Salesforce’s AI engineering productivity claims 37:21 (https://www.youtube.com/watch?v=CBtrRrbPO7I&t=2241s) — AI budgets are rising, but readiness is lagging 39:48 — How companies should build real AI adoption 42:31 — Why engineering is ahead of the rest of the enterprise 43:21 — Closing

6. 

   12 May 2026

   Runpoint: E11 - Anthropic Event, Designing with LLMs, the Proliferation of AI Consultants

   Runpoint Podcast E11: Code with Claude, the SaaSpocalypse, and AI Consulting Goes Mainstream Back after a couple months off, with a bigger crew this time. Sam and Matthew are joined by Ryan Mish, one of Runpoint's operator engineers, and Thanh Pham of Signal Advisory. Matthew just got back from Anthropic's Code with Claude conference and gives a side-by-side of the vibe at Anthropic vs. OpenAI (he hit both in the same week). From there we get into the stuff that's actually on our minds: The flood of new "AI consulting firms" charging $20K to install Claude Code and call it a deployment, and what separates real work from theater Whether the SaaSpocalypse is real, when it makes sense to rip out HubSpot, and where SaaS still wins (network effects, niche infrastructure, the school district that no VC will ever touch) Why mid-market companies often only use 10% of the software they pay for, and what changes when the data finally talks to itself Getting good design out of LLMs: Claude's house style vs. Codex 5.5 with image-gen mockups, and why Claude Design is still a prototyping tool Closing round of what each of us is using right now: managed agents, Pi as a harness for steering Claude and Codex together, a PNPM supply chain attack PSA, HTML artifacts instead of Markdown, and a $30 conference swag computer turned into a reading game for Matthew's daughter Chapters 00:00 Intro and new faces 01:30 Matthew's report from Code with Claude 05:30 Anthropic vs. OpenAI, in person 10:15 The AI consulting gold rush 14:30 Change management and company size 30:00 Is the SaaSpocalypse real? 40:30 Replacing software you only use 10% of 45:00 Getting good design out of LLMs 52:00 What we're using right now: managed agents, Pi, PNPM, HTML artifacts, and a tiny computer Guests Thanh Pham, Signal Advisory

7. 

   2 Jan 2026

   2025 AI Recap & 2026 Predictions: Winners, Losers, and What's Actually Working

   Happy New Year! In this episode, Matthew and Sam break down what actually happened in AI during 2025 and make predictions for what's coming in 2026. We cover the biggest winners and losers, the apps and tools that changed how we work, who to follow for smart AI takes, what surprised us most, and where we think things are headed. Key topics: • Why companies that stayed curious won 2025 • OpenAI's fall from dominance to a three-horse race • Claude Code and why it changed everything • The tools we actually use daily (Whisper Flow, Granola, Cursor) • Why vibe coded apps are passing enterprise code reviews • Google's image generation breakthrough • Our custom CRM build and the future of back office AI • Why product managers are the winners of 2026 • The coming downfall of SaaS and low-skill trades Plus: We launch our new Run Point Magazine and Sam accidentally emails hundreds of people. 🔗 Get the Run Point Magazine: [link] 🔗 Subscribe to our newsletter: [link] --- ## Chapters 0:00 - Intro & Happy New Year 0:39 - Biggest Winner of 2025: Curious Companies 2:16 - Claude Code Changed Everything 4:04 - Biggest Loser of 2025: AI Resisters 5:25 - Why OpenAI Lost Ground in 2025 7:07 - Best App of 2025: Claude Code & Whisper Flow 9:17 - Granola, Transcripts & the Transcript-to-Action Pattern 10:29 - Why Cursor Won the IDE Wars 11:33 - Best Thinkers to Follow: Tyler Cowen & Twitter Curation 14:40 - The Run Point Magazine Launch (and Email Disaster) 17:17 - Biggest Surprise: Enterprise-Grade Vibe Coded Apps 20:35 - Google's Image Generation Breakthrough 22:53 - Best Thing We Built: The AI-Powered CRM 27:08 - Worst Things We Built: Complex RAG Systems 28:52 - 2026 Predictions: Product Managers Win Big 30:37 - 2026 Loser Prediction: Half of SaaS Dies 32:28 - Why Low-Skill Home Services Are in Trouble 35:04 - AGI Is Basically Here (Contrarian Take) 38:10 - Why "Vibe Coding" Will Get Rebranded 38:38 - 2026 Resolutions: Back Office AI & Continuous Learning 41:01 - Wrap Up

8. 

   12 Nov 2025

   Episode 10 | Unlock AI Savings: R&D Tax Credits for Builders

   Learn how to save on your AI initiatives. On the Runpoint podcast, hosts Matthew Hall and Sam Gaddis welcome Ari Salafia, CEO and founder of TaxTaker. We explore how operator-engineers can claim R&D tax credits to ship working AI systems and significantly reduce development costs. Chapters: 00:00 Welcome Ari Salafia of TaxTaker 01:00 Understanding R&D Tax Credits: TaxTaker's Mission 02:30 Why Businesses Should Care About R&D Tax Credits Now 04:30 What You Stand to Gain: Key Expense Buckets 08:50 The Difference: Dollar-for-Dollar vs. Percentage 10:00 Qualified Research Expenses (QREs) Explained 11:00 Project Qualification: The Four-Part Test 14:00 Internal Use Software: Additional Requirements 15:45 Defining "Innovative" for Tax Credits 16:30 Case Study: Custom CRM Development 19:15 Custom Configuration vs. New Development 20:00 Documenting Projects for R&D Credits 21:50 Structuring Contracts with AI Consultants (like Runpoint) 25:00 Case Study: AI for Business Intelligence Tools 27:10 Case Study: AI for Resource Allocation 28:15 Case Study: AI-Powered New Service Offerings 30:45 Advice for Employees Seeking Project Approval 35:40 Addressing Global Talent in R&D Claims 38:00 Connect with TaxTaker Key Takeaways: Measurable Impact: Claim up to 10% of your AI development spend back in R&D tax credits. Pilots to Production: Understand how to qualify your projects, from custom builds to new AI service offerings. No BS: Learn direct strategies for contract structuring (IP retention, financial risk, US-based work) to maximize your credit. Value Creation: For early-stage companies, credits can offset payroll taxes; for profitable companies, income tax. Forward-Deploy: Empower internal champions to make a strong business case for AI initiatives by highlighting potential savings. Connect with Runpoint: We partner with executives but sit with end users, moving clients from pilots to production with measurable impact. See a 2-week pilot plan for your next AI project: https://runpoint.ai/ (https://runpoint.ai/) Learn more about R&D tax credits and TaxTaker: https://www.taxtaker.com/ (https://www.taxtaker.com/) Tags: #AIOps #AIinProduction #RandDTaxCredits #TaxTaker #Runpoint #AISavings #BusinessFinance #Innovation #TechTax #AIImplementation #OperatorEngineers #AIStrategy

9. 

   4 Nov 2025

   Episode 9 | The New AI Reality: ROI, Browser Wars & Vanishing Software Value

   Matthew Hall and Sam Gaddis break down the latest in AI, challenging the "95% failure" narrative with new ROI data and dissecting ChatGPT's "Atlas" browser launch. They codify emerging best practices for AI workflow automation, advise on navigating the crowded AI coding assistant market, and celebrate AI's power to enable entirely new work. The episode culminates in a crucial discussion on the diminishing value of software in acquisitions and what truly constitutes a moat in the age of AI. Chapters: 00:00 AI's Evolving Landscape: Successes and Failures 04:00 ChatGPT's New Browser: A Game Changer? 07:33 Best Practices for AI Workflow Automation 12:00 Navigating the AI Coding Assistant Market 16:55 New Opportunities: AI Empowering New Work 21:28 Valuing Software in the Age of AI Key Takeaways: AI ROI is proving positive for most firms, with a new study challenging older "failure" statistics. ChatGPT's new "Atlas" browser shows potential but needs deeper context integration to become a true game-changer. Effective AI automation prioritizes breaking workflows into atomic steps, automating deterministic parts, and using single agents for judgment with human oversight. Distribution, data, and brand are the new moats; the value of software itself is rapidly diminishing in the age of AI. AI empowers "net new" work, allowing individuals to tackle tasks and projects they previously wouldn't have attempted. Tags: #AI #ChatGPT #Automation #EnterpriseAI #AICoding #SoftwareValuation #Podcast #RunpointPodcast

10. 

    10 Oct 2025

    10 Hard Questions • This Week in AI

    Two builder-operators break down the last two weeks in AI using 10 Tyler Cowen–style questions. We get into Sora 2’s cameo culture, whether “thinking” models are worth the latency, agents that actually help, model choice for client work, the energy/compute wave, and why open-weights like DeepSeek matter (or don’t) for practitioners. What you’ll get Practical takes from people shipping client projects Where Claude 4.5 vs GPT shines (coding vs writing) When to use “extended thinking/deep research” vs fast models Real talk on agents, meeting schedulers, and workflow design Energy, nuclear, and why AI ≈ infrastructure Open-weights vs ecosystems: where the moat really is Chapters 00:00 – Cold open & intro 00:26 – Who’s Tyler Cowen and why this format 02:00 – Q1: Sora 2, IP, and the “cameo economy” 06:44 – What we’re doing in this episode (format explainer) 08:11 – Q2: GPT apps & the VibeCoder value prop (workflow architect vs app builder) 17:03 – Q3: “30-hour agents” & autonomy myths (Claude, Replit Agent) 22:57 – Q4: When to use thinking models vs fast models (and deep research) 29:04 – Q5: SB-53 AI transparency—useful or compliance theater? 30:24 – Q6: Picking models for clients: capability, brand, or last best output? 37:01 – Q7: Agents that actually help (Lindy scheduling, weekly pain points) 41:34 – Q8: Compute, energy, and nuclear—should builders be optimistic? 46:50 – Q9: DeepSeek R1 costs & the real moat (ecosystems > raw perf) 49:33 – Wrap-up & feedback ask Links & mentions (non-sponsored) Tyler Cowen / Marginal Revolution Anthropic Claude 4.5 (coding + writing) OpenAI GPT-5 (auto/fast tasks), Deep Research modes Lindy meeting agent Replit Agent 3 (autonomous build experiments)

11. 

    16 Sept 2025

    The “Nano Banana” Moment, GPT-5 Reality Check & How to Win with AI | Runpoint Ep. 7

    Matthew Hall and Sam Gaddis break down Google’s new image model (“Nano Banana”) with real tests (thumbnails, interior wallpaper, character persistence), give a no-BS GPT-5 reality check vs Claude Code, and unpack MIT’s State of AI in Business 2025—including the viral “95% of AI projects fail” stat. We cut through the hype and share a practical framework to land in the winning 5%: build small/fast, keep an expert-in-the-loop, measure outcomes, and forward-deploy an “AI nerd” to sit with your operators. We also talk browser agents (Claude for Chrome), throttling/caps, OpenAI’s CLI, and two personal builds (an E*TRADE API portfolio snapshot and a fantasy-draft helper). Chapters 00:00 (https://www.youtube.com/watch?v=UXpTQI8zE3g) Intro 00:32 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=32s) Google’s “Nano Banana” image model—why it feels like a Photoshop killer 02:40 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=160s) Real tests: thumbnails, character persistence, interior wallpapering 05:58 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=358s) GPT-5 hype vs reality; coding speed vs chat experience 10:52 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=652s) OpenAI Codecs & CLI vs Claude Code (features, trade-offs) 12:26 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=746s) Anthropic caps/throttling—what changed and why it matters 14:22 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=862s) Browser agents (Claude for Chrome): promise vs practical limits 20:01 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=1201s) MIT report: “95% fail” explained—what the data actually says 27:55 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=1675s) Adoption ≠ transformation; back-office beats front-office (for now) 34:21 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=2061s) The winning playbook: build small/fast, expert-in-the-loop, “shadow AI,” forward-deploy talent 43:02 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=2582s) What we’re excited about: E*TRADE API snapshot, fantasy draft tool, Nano Banana 45:38 (https://www.youtube.com/watch?v=UXpTQI8zE3g&t=2738s) Wrap Key takeaways Build small, ship fast, iterate. Expert-in-the-loop to fully autonomous (for ROI today). Back-office automations quietly print value. Measure quality & cycle-time, not just topline ROI. Tags #AI (https://www.youtube.com/hashtag/ai) #GPT5 (https://www.youtube.com/hashtag/gpt5) #Claude (https://www.youtube.com/hashtag/claude) #GoogleAI (https://www.youtube.com/hashtag/googleai) #Automation (https://www.youtube.com/hashtag/automation) #EnterpriseAI (https://www.youtube.com/hashtag/enterpriseai) #RunpointPodcast (https://www.youtube.com/hashtag/runpointpodcast)

12. 

    4 Aug 2025

    Episode 6 | AI Fluency for Private Equity: From Zapier’s Framework to Real-World Tools

    Unlock the practical side of AI adoption in private equity. 🤖💼 Matthew Hall and Sam Gaddis break down Zapier’s widely shared AI Fluency Framework and then rebuild it for PE—covering deal sourcing, diligence, fund ops, and the coding workflows that actually ship AI products. What You’ll Learn Why Zapier made AI fluency non-negotiable for every new hire—and what that means outside tech. A four-level ladder (Unacceptable → Transformative) tailored to PE functions: Deal Sourcing Deal Evaluation & Diligence Fund Operations Value Creation & Investor Relations Concrete tool stacks: Clay, Replit, Claude Code, GitHub Issues, custom GPTs. The “white whale” of PE ops: a chat interface that understands every deal doc—and why we’re this close. Sam’s two-terminal setup that turns AI agents into reliable teammates (and kills downtime). Links & Resources Zapier AI Fluency Framework → https://zapier.com/blog/zapier-ai-first-hiring-leaning/ Sam’s coding-workflow video → https://www.youtube.com/watch?v=v0o50r4hz24&t=259s Full PE AI-fluency matrix & examples → coming soon on runpoint.ai Subscribe for more AI-in-business deep dives → 🔔 Chapters 00:00  Intro 01:00  Zapier’s AI Fluency Framework explained 10:00  Deal Sourcing—spray-and-pray vs adaptive agents 17:00  Diligence workflows with Replit & contract analyzers 24:25  Fund Ops dashboards, data warehouses & the ‘impossible’ chatbot 32:00  Sam’s multitasking Claude Code + GitHub flow 35:00  How you can score your own firm (and help us refine the model)

13. 

    9 Jul 2025

    Episode 5 | Navigating the Future of Outbound Sales with AI

    In this episode of the Run Point Podcast, hosts Matthew Hall and Sam Gaddis engage with Shane Stearns to explore the evolving landscape of outbound sales, particularly in the context of AI. They discuss the historical eras of outbound sales, the challenges of the sequencing era, and the importance of quality over quantity in sales strategies. Shane shares insights on how AI can enhance list building and research, the fragmentation of sales tools, and the critical role of personalization in effective sales outreach. The conversation culminates in a discussion about the future of AI in sales coaching and training, emphasizing the need for a human touch in understanding client needs. takeaways Chapters 00:00 - Introduction to AI and Go-to-Market Strategies 01:26 - Eras of Outbound Sales: A Historical Perspective 04:07 - The Sequencing Era: Overload and Complexity 08:45 - The Shift to Quality Lists and Personalization 11:32 - The Rise of Clay: A New Era in Sales Tools 14:20 - Fragmentation vs. All-in-One Solutions 18:07 - Human Interaction: The Key to Effective Sales 21:31 - Understanding the Value Proposition 24:37 - Leveraging AI in Sales Processes 28:47 - Building Targeted Lists with AI 31:24 - The Role of Personalization in Outreach 34:36 - AI in Market Research and Focus Groups 39:06 - AI's Role in Sales Coaching and Training

14. 

    20 Jun 2025

    From Diapers to Deal Flow: How We Actually Use AI All Day

    Matthew Hall and Sam Gaddis discuss practical applications of generative AI, including financial modeling, parenting strategies, and overhead reduction, to demonstrate how AI can boost personal leverage and profitability.

15. 

    23 May 2025

    Episode 3 - Google I.O., newsletter automation, voice memos, AI tools, private equity, AI quality, sycophancy, technology trends

    Hosts Sam Gaddis and Matthew Hall examine practical AI tools like voice memos and ChatGPT, newsletter automation, Google I.O. innovations, and AI content quality, revealing AI's potential to boost productivity.

16. 

    2 May 2025

    Episode 2 | PowerPoint Is Dead: Building the Future of Work With AI

    keywords AI, tools, development, PowerPoint, automation, coding, data analysis, business insights, technology, productivity summary In this conversation, Matthew Hall and Sam Gaddis discuss their current projects, tools they find useful, and their opinions on the future of presentations and AI in business. They explore the effectiveness of various AI tools for automating tasks, the decline of traditional presentation software like PowerPoint, and the evolving role of AI in financial analysis and project management. The discussion also delves into their development stacks and best practices for coding and project planning. takeaways Sam is excited about a new project involving data scraping and analysis. Matthew is focused on developing coding tools and models. They discuss the utility of AI tools for business applications. PowerPoint is becoming obsolete in favor of more dynamic tools. AI can effectively replace some traditional roles in finance. Customization of prompts is key to getting the best results from AI. Planning is crucial before starting any coding project. AI can significantly reduce the time spent on tedious tasks. Using up-to-date API documentation is essential for successful coding. The conversation emphasizes the importance of clear communication in project specifications. Chapters 00:00 - Introduction and Exciting Projects 03:23 - Tools You Can Use Today 17:58 - Hot Takes on PowerPoint and AI 30:55 - In the Weeds: Development Stack and Challenges

17. 

    25 Apr 2025

    Runpoint Podcast: Episode 1 - Lindy vs. N8n vs Custom

    In this conversation, Matthew Hall and Sam Gaddis explore various AI tools and their applications in workflow automation, lead enrichment, and document management. They discuss their experiences with Lindy, N8n, and a custom-built lead enrichment app, highlighting the pros and cons of each tool. The conversation also delves into the SuperCIM project, which focuses on document synthesis and management for private equity clients. They conclude by discussing the future of AI in business and the potential for custom solutions to meet specific needs. Chapters 00:00 Introduction to AI Tools and Their Applications 02:47 Exploring Lindy: The Agent Swarm Approach 05:59 N8n: A Developer-Friendly Automation Solution 08:57 Custom Lead Enrichment with Cursor 12:01 Comparing DIY Solutions to Established SaaS 14:58 The Future of Custom Solutions vs. SaaS 18:01 Building Tools for Specific Needs 20:15 Custom Tooling for Business Needs 20:57 Introducing Super Sim: A Game Changer 22:12 Document Management in Private Equity 24:00 Customization and Metrics in Super Sim 26:10 The Role of LLMs in Data Analysis 28:14 From Data to Insights: The Moneyball Approach 29:56 Creative Uses of Structured Data 32:00 Unlocking Value in Unstructured Data 35:42 Closing Thoughts and Future Opportunities AI tools, workflow automation, Lindy, N8n, lead enrichment, SuperSIM, document management, business applications, custom solutions, technology trends

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Score snapshot 15 Sept 2025

Podcast Authority Score: 36 / 100

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Quality

42

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